Evidence map›Paper›PMID 33004098›Full record

SynthesisEpidemiology and infection2020

A meta-analytic evaluation of sex differences in meningococcal disease incidence rates in 10 countries.

Manfred S Green, Naama Schwartz, Victoria Peer

Abstract readMeta-Analysis
In one paragraph

Synthesis in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  6. Article
  7. Invasive Disease Due toMicroorganisms · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Manfred S GreenSchool of Public Health, University of Haifa, Haifa, Israel.ORCID 0000-0002-9753-5612
Naama SchwartzSchool of Public Health, University of Haifa, Haifa, Israel.
Victoria PeerSchool of Public Health, University of Haifa, Haifa, Israel.ORCID 0000-0003-1291-0928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The magnitude and consistency of the sex differences in meningococcal disease incidence rates (IR) have not been systematically examined in different age groups, countries and time periods. We obtained national data on meningococcal disease IR by sex, age group and time period, from 10 countries. We used meta-analytic methods to combine the male to female incidence rate ratios (IRRs) by country and year for each age group. Meta-regression analysis was used to assess the contribution of age, country and time period to the variation in the IRRs. The pooled male to female IRRs (with 95% CI) for ages 0-1, 1-4, 5-9, 10-14 and 15-44, were 1.25 (1.19-1.32), 1.24 (1.20-1.29), 1.13 (1.07-1.20), 1.21 (1.13-1.29) and 1.15 (1.10-1.21), respectively. In the age groups 45-64 and over 65, the IR were lower in males with IRRs of 0.83 (0.78-0.88) and 0.64 (0.60-0.69), respectively. Sensitivity analysis and meta-regression confirmed that the results were robust. The excess meningococcal IR in young males and the higher rates in females at older ages were consistent in all countries, except the Czech Republic. While behavioural factors could explain some of the sex differences in the older age groups, the excess rates in very young males suggest that genetic and hormonal differences could be important.

Indexed as

AdolescentAdultAgedChildChild, PreschoolFemaleGlobal HealthHumansIncidenceInfantMaleMeningococcal InfectionsMiddle AgedRetrospective StudiesSex FactorsYoung Adultincidence rate ratiosmale predominancemeningococcal diseasemeta-analysissex differences

Identifiers

PMID33004098
PMCPMC7592104

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.